From: Integrative relational machine-learning for understanding drug side-effect profiles
Rule # | Condition part of the rule | P | N |
---|---|---|---|
3 | drug_has_target(A,B,inhibitor), goterm(B,’cellular response to insulin stimulus’) | 15 | 1 |
18 | drug_has_target(A,B,inhibitor), goterm(B,C), go_relation(C,part_of,go:21543) | 13 | 1 |
1 | drug_has_target(A,B,activator), interact(B,C), goterm(C,’central nervous system development’) | 12 | 1 |
30 | drug_has_target(A,B,inhibitor), interact(B,C), pathway(C,’BCR signaling pathway’,pid), drug_cluster(A,’17_quinine’,hpcc) | 12 | 0 |
24 | drug_has_target(A,B,inhibitor), interact(B,C), goterm(C,’translation’), interact(C,D) | 10 | 1 |
20 | drug_has_target(A,B,inhibitor), interact(B,C), pathway(C,’BCR signaling pathway’,pid), pathway(C,’EPO signaling pathway’,pid) | 9 | 1 |
25 | drug_has_target(A,B,activator), goterm(B,’lipid binding’), goterm(B,’ligand-dependent nuclear receptor activity’) | 9 | 1 |
35 | drug_has_target(A,B,activator), interact(B,C), goterm(C,’identical protein binding’), goterm(C,’DNA binding’) | 9 | 1 |
6 | drug_has_target(A,B,inhibitor), goterm(B,’protein homodimerization activity’), drug_cluster(A,’16_gliclazide’,hpcc) | 8 | 0 |
8 | drug_has_target(A,B,activator), interact(B,C), interact(C,’Serine/threonine-protein phosphatase 2A 55 kDa regulatory subunit B beta isoform’) | 8 | 1 |
15 | drug_has_target(A,B,inhibitor), goterm(B,’response to ethanol’), goterm(B,’signal transduction’) | 8 | 1 |
19 | drug_has_target(A,B,inhibitor), goterm(B,C), go_relation(C,is_a,go:8227), drug_cluster(A,’16_Flavoxate’,hpcombo) | 8 | 0 |
31 | drug_has_target(A,B,inhibitor), interact(B,C), interact(C,’Dedicator of cytokinesis protein 1’) | 8 | 0 |
5 | drug_has_target(A,B,activator), goterm(B,’receptor activity’), interact(B,C), goterm(C,’mitosis’) | 7 | 1 |
10 | drug_has_target(A,B,inhibitor), goterm(B,C), go_relation(C,is_a,’cation channel activity’), goterm(B,’serotonin receptor activity’) | 7 | 1 |
14 | drug_has_target(A,B,activator), pathway(B,’Neuroactive ligand-receptor interaction’,kegg), goterm(B,’transcription, DNA-dependent’), goterm(B,’signal transduction’) | 7 | 0 |
16 | drug_has_target(A,B,inhibitor), pathway(B,’Endocytosis’,kegg) | 7 | 0 |
21 | drug_has_target(A,B,activator), interact(B,C), interact(C,’RNA polymerase-associated protein CTR9 homolog’) | 7 | 1 |
22 | drug_has_target(A,B,inhibitor), pathway(B,’Role of Calcineurin-dependent NFAT signaling in lymphocytes’,pid), goterm(B,’signal transduction’) | 7 | 1 |
23 | drug_has_target(A,B,inhibitor), interact(B,C), domain(C,’ Protein synthesis factor, GTP-binding’) | 7 | 1 |
28 | drug_cluster(A,’7_marinol’,hpcombo) | 7 | 1 |
7 | category(A,’Topoisomerase Inhibitors’), drug_has_target(A,B,inhibitor), goterm(B,’transferase activity’) | 6 | 1 |
12 | drug_cluster(A,’29_norfloxacin’,hpcf) | 6 | 1 |
17 | category(A,’Cyclooxygenase 2 Inhibitors’), drug_cluster(A,’2_estazolam’,hpcc) | 6 | 0 |
32 | drug_has_target(A,B,activator), goterm(B,’inflammatory response’), goterm(B,’protein binding’) | 6 | 0 |
2 | category(A,’Serotonin Uptake Inhibitors’) | 5 | 0 |
4 | drug_has_target(A,B,inhibitor), goterm(B,’synapse assembly’), drug_cluster(A,’14_fentanyl’,hpcombo) | 5 | 1 |
9 | drug_has_target(A,B,activator), goterm(B,’protein heterodimerization activity’), goterm(B,’cell-cell signaling’) | 5 | 1 |
11 | drug_has_target(A,B,other), interact(B,C), pathway(C,’Focal adhesion’,kegg), pathway(C,’Signaling events mediated by focal adhesion kinase’,pid) | 5 | 0 |
13 | category(A,’HIV Protease Inhibitors’), drug_has_target(A,B,inhibitor), goterm(B,C), go_relation(C,is_a,D), go_relation(D,is_a,’catalytic activity’) | 5 | 1 |
26 | drug_has_target(A,B,inhibitor), goterm(B,’heart development’) | 5 | 1 |
27 | drug_has_target(A,B,inhibitor), goterm(B,C), go_relation(C,is_a,go:65008), drug_cluster(A,’55_thiothixene’,tanimoto) | 5 | 0 |
29 | category(A,’HIV Protease Inhibitors’), drug_has_target(A,B,inhibitor), goterm(B,’oxidation reduction’) | 5 | 0 |
33 | drug_has_target(A,B,other), goterm(B,C), go_relation(C,is_a,go:51240) | 5 | 1 |
34 | drug_has_target(A,B,inhibitor), goterm(B,C), go_relation(C,is_a,’binding’), drug_cluster(A,’27_quinine’,hpcombo) | 5 | 1 |